2019/09/05 by Hafez Farazi, Farazi, Hafez, Grzegorz Ficht +16
Computer Science · Engineering · #Advanced Neural Network Applications #FOS: Computer and information sciences #Robotic Locomotion and Control #Robotic Path Planning Algorithms #Robotics (cs.RO) #Robotics and Automated Systems #Robotics and Sensor-Based Localization #cs.RO
paper · pdf · doi:10.48550/arxiv.1909.02385
Accepted for RoboCup 2018: Robot World Cup XXII, LNCS, Springer, to appear 2019
arxiv created 2019/09/05 · openalex publication_date 2019/09/05 · arxiv updated 2019/09/06 · openalex created_date 2022/07/19 · openalex updated_date 2026/07/28
Over the past few years, the Humanoid League rules have changed towards more realistic and challenging game environments, which encourage teams to advance their robot soccer performances. In this paper, we present the software and hardware designs that led our team NimbRo to win the competitions in the AdultSize league -- including the soccer tournament, the drop-in games, and the technical challenges at RoboCup 2018 in Montreal. Altogether, this resulted in NimbRo winning the Best Humanoid Award. In particular, we describe our deep-learning approaches for visual perception and our new fully 3D printed robot NimbRo-OP2X.